Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 37-42.
• Review • Previous Articles Next Articles
WANG Gang, JIANG Jun, WANG Han-ru
CLC Number:
[1]CHEN H,CHIANG R H L,STOREY V C.Business intelli-gence and analytics:from big data to big impact[J].Mis Quarterly,2012,36(4):1165-1188. [2]包红云,李秋丹,高珩,等.集成组内标签与用户链接关系的Flickr组推荐模型[J].模式识别与人工智能,2013(2):176-181. [3]中国互联网络信息中心.第34次中国互联网络发展状况统计报告[J].互联网天地,2014(7):71-89. [4]项亮.推荐系统实践[M].北京:人民邮电出版社,2012. [5]ADOMAVICIUS G,TUZHILIN A.Toward the Next Generation of Recommender Systems:A Survey of the State-of-the-Art and Possible Extensions[J].IEEE Transactions on Knowledge &Data Engineering,2005,17(6):734-749. [6]RESNICK P,VARIAN H R.Recommender systems[J].Communications of the Acm,1997,40(3):56-58. [7]SCHAFER J B,DAN F,HERLOCKER,et al.Collaborative Filtering Recommender Systems[M]∥The adaptive Web.Berlin:Springer,2007. [8]孟祥武,刘树栋,张玉洁,等.社会化推荐系统研究[J].软件学报,2015,26(6):1356-1372. [9]JIANG M,CUI P,WANG F,et al.Scalable et al.Recommendation with Social Contextual Information[J].IEEE Transactions on Knowledge & Data Engineering,2014,26(11):2789-2802. [10]MA H,YANG H,LYU M R,et al.SoRec:Social Recommendation Using Probabilistic Matrix Factorization[C]∥ACM Conference on Information and Knowledge Management(CIKM 2008).Napa Valley,California,USA,2008. [11]FIGUEIREDO F,PINTO H,BELM F,et al.Assessing the quality of textual features in social media[J].Information Processing & Management,2013,49(1):222-247. [12]MA H,ZHOU D,LIU C,et al.Recommender systems with social regularization[C]∥Forth International Conference on Web Search and Web Data Mining(WSDM 2011).Hong Kong,China,2011. [13]RAWASHDEH M,AIHAMID M F,ALJAAM J M,et al.Tag-based personalized recommendation in social media services[J].Multimedia Tools & Applications,2016,75(21):13299-13315. [14]BAI J.Collaborative filtering recommendation algorithm based on semantic similarity of item[C]∥IEEE Fifth International Conference on Advanced Computational Intelligence.2012. [15]LI Y M,HSIAO H W.Recommender Service for Social Network based Applications[C]∥Proceedings of the 11th International Conference on Electronic.2009. [16]MA H,ZHOU T C,LYU M R,et al.Improving Recommender Systems by Incorporating Social Contextual Information[J].Acm Transactions on Information Systems,2011,29(2):219-230. [17]TANG J,HU X,LIU H.Social recommendation:a review[J].Social Network Analysis and Mining,2013,3(4):1113-1133. [18]JANNACH D,GEYER W,DUGAN C,et al.Workshop on recommender systems and the social Web[J].Recommender Systems & the Social Web,2009:421-422. [19]FREYNE J,ANAND S S,GUY I,et al.3rd workshop on recommender systems and the social Web[C]∥ACM Conference on Recommender Systems.2011. [20]MOBASHER B,JANNACH D,GEYER W,et al.The fifth ACM RecSys workshop on recommender systems and the social Web[C]∥Recsys.2013:60-70. [21]YANG X,GUO Y,LIU Y,et al.A survey of collaborative filtering based social recommender systems[J].Computer Communications,2014,41(5):1-10. [22]ZANDA A,EIBE S,MENASALVAS E.SOMAR:A SOcial Mobile Activity Recommender[J].Expert Systems with Applications,2012,39(9):8423-8429. [23]SYMEONIDIS P,PAPADIMITRIOU A,MANOLOPOULOS Y, et al.Geosocial recommendations based on incremental tensor reduction and local path traversal[C]∥ACM Sigspatial International Workshop on Location-Based Social Networks.2011. [24]LIU J,WU C,XIONG Y,et al.List-wise probabilistic matrix factorization for recommendation[J].Information Sciences,2014,278:434-447. [25]CAI Y,LEUNG H,LI Q,et al.Typicality-Based Collaborative Filtering Recommendation[J].IEEE Transactions on Knowledge & Data Engineering,2014,26(3):766-779. [26]ARORA G,KUMAR A,DEVER G S,et al.Movie Recommendation System Based on Users’ Similarity[J].International Journal of Computer Science and Mobile Computing,2014,3(4):765-770. [27]孙光福,吴乐,刘淇,等.基于时序行为的协同过滤推荐算法[J].软件学报,2013(11):2721-2733. [28]刘鲁,任晓丽.推荐系统研究进展及展望[J].信息系统学报,2008(1):82-90. [29]LI H.Learning to Rank for Information Retrieval and Natural Language Processing[M].Mergan & Claypool Publishers,2011. [30]SHI Y,LARSON M,HANJALIC A.List-wise learning to rank with matrix factorization for collaborative filtering[C]∥ACM Conference on Recommender Systems(Recsys 2010).Barcelona,Spain,2010. [31]KOREN Y,BELL R,VOLINSKY C.Matrix Factorization Tech-niques for Recommender Systems[J].Computer,2009,42(8):30-37. [32]CAO H,VERMA R,NENKOVA A.Speaker-sensitive emotion recognition via ranking:Studies on acted and spontaneous speech[J].Computer Speech & Language,2015,28(1):186. [33]RENDLE S,FREUDENTHALER C,GANTNER Z,et al.BPR:Bayesian personalized ranking from implicit feedback[C]∥Conference on Uncertainty in Artificial Intelligence.2009. [34]SHI Y,LARSON M,HANJALIC A.Unifying rating-oriented and ranking-oriented collaborative filtering for improved recommendation[J].Information Sciences,2013,229(6):29-39. [35]ZHAO Z,LU H,CAI D,et al.User Preference Learning for Online Social Recommendation[J].IEEE Transactions on Knowledge & Data Engineering,2016,28(9):1. [36]GOLBECK J.Generating Predictive Movie Recommendations from Trust in Social Networks[M]∥Trust Management.Berlin:Springer,2006:93-104. [37]MASSA P,AVESANI P.Trust-aware recommender systems[C]∥ACM Conference on Recommender Systems.2007. [38]JAMALI M,ESTER M.TrustWalker:a random walk model for combining trust-based and item-based recommendation[C]∥ACM SIGKDD International Conference on Knowledge Disco-very and Data Mining.2009. [39]MA H,KING I,LYU M R.Learning to recommend with social trust ensemble[C]∥International ACM SIGIR Conference on Research and Development in Information Retrieval,SIGIR 2009.Boston,MA,USA,2009. [40]TANG J,GAO H,LIU H.mTrust:Discerning Multi-Faceted Trust in a Connected World[C]∥International Conference on Web Search and Web Data Mining(WSDM 2012).Seattle,WA,USA,2012. [41]JAMALI M,ESTER M.A matrix factorization technique with trust propagation for recommendation in social networks[C]∥ACM Conference on Recommender Systems(Recsys 2010).Barcelona,Spain,2010. [42]CAGLIERO L,FIORI A,GRIMAUDO L.Personalized tag recommendation based on generalized rules[J].Acm Transactions on Intelligent Systems & Technology,2013,5(1):328-328. [43]LI Q,WANG J,CHEN Y P,et al.User comments for news recommendation in forum-based social media[J].Information Sciences,2010,180(24):4929-4939. [44]JIANG B.Improving collaborative tag recommendation by using local lexicon in social comment context[C]∥International Conference on Computer Supported Cooperative Work in Design(CSCWD 2011).Lausanne,Switzerland,2011. [45]MAO J,LU K,LI G,et al.Profiling users with tag networks in diffusion-based personalized recommendation[J].Journal of Information Science,2016,42(5):711-722. [46]LEI X,QIAN X,ZHAO G.Rating Prediction based on Social Sentiment from Textual Reviews[J].IEEE Transactions on Multimedia,2016,18(9):1. [47]何军.国外群推荐聚集策略研究综述[J].图书情报工作,2013(7):127-133,88. [48]WANG W,ZHANG G Q,LU J.Member contribution-based group recommender system[J].Decision Support Systems,2016,87:80-93. [49]ORTEGA F,et al.Recommending items to group of users using Matrix Factorization based Collaborative Filtering[J].Information Sciences,2016,345(C):313-324. [50]张玉洁,杜雨露,孟祥武.组推荐系统及其应用研究[J].计算机学报,2016(4):745-764. [51]ORTEGA F,BOBADILLA J,HERNANDO A,et al.Incorporating group recommendations to recommender systems:Alternatives and performance[J].Information Processing & Management,2013,49(4):895-901. [52]MASTHOFF J.Group Recommender Systems[C]∥Combining Individual Models.2010:677-702. [53]KASSAK O,KOMPAN M,BIELIKOVA M.Personalized hy-brid recommendation for group of users:Top-N multimedia re-commender[J].Information Processing & Management,2016,52(3):459-477. [54]PERA M S,NG Y K.A group recommender for movies based on content similarity and popularity[J].Information Processing & Management An International Journal,2013,49(3):673-687. [55]BALTRUNAS L,MAKCINSKAS T,RICCI F.Group recom-mendations with rank aggregation and collaborative filtering[C]∥ACM Conference on Recommender Systems(Recsys 2010).Barcelona,Spain,2010. [56]GARCIA I,SEBASTIA L,ONAINDIA E.On the design of individual and group recommender systems for tourism[J].Expert Systems with Applications,2011,38(6):7683-7692. [57]NAAMANI-DERY L,KALECH M,ROKACH L,et al.Pre-ference elicitation for narrowing the recommended list for groups[C]∥ACM Conference on Recommender Systems.2014. [58]JAMESON A.More than the sum of its members:challenges for group recommender systems[C]∥Working Conference on Advanced Visual Interfaces(AVI 2004).Gallipoli,Italy,2004. [59]QUIJANO-SANCHEZ L,RECIO-GARCIA J A,DIAZ-AGUDO B,et al.Social factors in group recommender systems[J].Acm Transactions on Intelligent Systems & Technology,2013,4(1):1199-1221. [60]QUEIROZ S R M,DE CARVALHO F A T,RAMALHO G L,et al.Making recommendations for groups using collaborative filtering and fuzzy majority[C]∥16th Brazi-lian Symposium on Artificial Intelligence(SBIA 2002).Bittencourt G,Ramalho G L,2002:248-58. [61]GUO J,ZHU Y,LI A,et al.A Social Influence Approach for Group User Modeling in Group Recommendation Systems[J].IEEE Intelligent Systems,2016,31(5):1. [62]ARDISSONO L,GOY A,PETRONE G,et al.Intrigue:Personalized recommendation of tourist attractions for desktop and hand held devices[J].Applied Artificial Intelligence,2003,17(8-9):37-41. [63]GORLA J,LATHIA N,ROBERTSON S,et al.Probabilistic group recommendation via information matching[C]∥International Conference on World Wide Web.2013. |
[1] | WANG Mei-ling, LIU Xiao-nan, YIN Mei-juan, QIAO Meng, JING Li-na. Deep Learning Recommendation Algorithm Based on Reviews and Item Descriptions [J]. Computer Science, 2022, 49(3): 99-104. |
[2] | PAN Fang, ZHANG Hui-bing, DONG Jun-chao, SHOU Zhao-yu. Aspect Sentiment Analysis of Chinese Online Course Review Based on Efficient Transformer [J]. Computer Science, 2021, 48(6A): 264-269. |
[3] | LIU Zhong-hui, ZHAO Qi, ZOU Lu, MIN Fan. Heuristic Construction of Triadic Concept and Its Application in Social Recommendation [J]. Computer Science, 2021, 48(6): 234-240. |
[4] | ZHANG Ming-yang, WANG Gang, PENG Qi, ZHANG Yan-feng. Data Analysis of OpenReview [J]. Computer Science, 2021, 48(6): 63-70. |
[5] | LIU Tong-tong, YANG Huan, XI Yong-ming, GUO Jian-wei, PAN Zhen-kuan, HUANG Bao-xiang. Review on Intelligent Diagnosis of Spine Disease Based on Machine Learning [J]. Computer Science, 2021, 48(11A): 597-607. |
[6] | FU Zhen-hao, LIN Ding-kang, JIANG Hao-chen, YAN Jia-qi. Survey of Anonymous and Tracking Technology in Zerocash [J]. Computer Science, 2021, 48(11): 62-71. |
[7] | YUAN Lu, ZHU Zheng-zhou, REN Ting-yu. Survey on Fake Review Recognition [J]. Computer Science, 2021, 48(1): 111-118. |
[8] | ZHANG Yan, LI Tian-rui. Review of Comment-oriented Aspect-based Sentiment Analysis [J]. Computer Science, 2020, 47(6): 194-200. |
[9] | ZHANG Yi-fei,WANG Zhong-qing,WANG Hong-ling. Product Review Summarization Using Discourse Hierarchical Structure [J]. Computer Science, 2020, 47(2): 195-200. |
[10] | WANG Ying, ZHENG Li-wei, ZHANG Yu-yao, ZHANG Xiao-yun. Software Requirement Mining Method for Chinese APP User Review Data [J]. Computer Science, 2020, 47(12): 56-64. |
[11] | JING Li, LI Man-man, HE Ting-ting. Sentiment Classification of Network Reviews Combining Extended Dictionary and Self-supervised Learning [J]. Computer Science, 2020, 47(11A): 78-82. |
[12] | FENG Jin-zhan, CAI Shu-qin. Helpfulness Degree Prediction Model of Online Reviews Fusing Information Gain and Gradient Decline Algorithms [J]. Computer Science, 2020, 47(10): 69-74. |
[13] | ZHANG Hui-bing, ZHONG Hao, HU Xiao-li. User Reviews Clustering Method Based on Topic Analysis [J]. Computer Science, 2019, 46(8): 50-55. |
[14] | WU Fan, LI Shou-shan, ZHOU Guo-dong. Movie Review Professionalism Classification Using LSTM and Features Fusion [J]. Computer Science, 2019, 46(6A): 74-79. |
[15] | ZONG Peng-yang, WANG Yi-chen. Software Quality Evaluation Based on Neural Network:A Systematic Literature Review [J]. Computer Science, 2019, 46(11A): 507-516. |
|